Device and method for detecting slope stability

Abstract

The present invention discloses a device and method for detecting the stability of a slope. The device includes: a detection hole, in each detection hole, a sensor array is arranged along the depth direction, and the sensor array includes a plurality of temperature sensors and a plurality of inclination sensors; a host computer, which collects the detection data of the sensor array; determines the temperature values at different depths of the detection hole according to the detection data of the temperature sensors, and sets the position of the temperature sensor where the temperature value change range exceeds the preset temperature change range as the infiltration area to identify the seepage channel; determines the inclination angles at different depths of the detection hole according to the detection data of the inclination sensors, and sets the position of the inclination sensor where the inclination angle change range exceeds the preset inclination angle range as the suspected weak interlayer area; determines the weak interlayer area according to the spatial distribution information of the seepage channels in the suspected weak interlayer area. The above solution can quickly, accurately and efficiently identify the positions of the seepage channels and weak interlayers inside the slope, and has low cost and is simple and easy to implement.

Description

Technical Field

[0001] The present invention relates to the technical field of geotechnical engineering, and specifically, to a device and method for detecting the stability of slopes. Background Art

[0002] With the continuous development of open-pit mine exploitation towards deeper depths, higher intensities, and larger scales, slope instability disasters have become the most frequent disaster types in open-pit mines, posing a serious threat to the safe and efficient production of mines and the lives of workers. The main internal and external factors affecting the stability of open-pit mine slopes are usually soft interlayers and seepage effects. Soft interlayers composed of clay shale, soft tuff, marl, talc schist, and components containing rock salt or gypsum are generally present in the rock mass of open-pit mine slopes. Soft interlayers have the characteristics of low strength, low density, and large deformation, and often become potential sliding surfaces of mine slopes, playing a controlling role in the stability of slopes during the mining process and final slopes. At the same time, soft interlayers are also good seepage channels for water, and the water-rock interaction exacerbates the deterioration of the mechanical properties of the interlayers themselves, making the rheological characteristics of soft interlayers more obvious. Therefore, accurately detecting soft interlayers and seepage channels in slopes is crucial for the stability evaluation and safe construction of mine slopes. Therefore, it is necessary to detect soft interlayers and seepage channels in slopes to determine the stability of slopes. The current methods for detecting soft interlayers and seepage channels are as follows:

[0003] Detection of soft interlayers: Since soft interlayers are often layers that are easily lost during drilling, it is very difficult to identify the position of soft interlayers using drilling methods. Among the methods of identifying soft interlayers using geophysical logging techniques such as resistivity logging, induction logging, natural gamma logging, and acoustic array logging, there are large errors in identifying weak layers relying on a single logging curve, and it is necessary to comprehensively use multiple logging methods to improve the identification and detection effect, which leads to the complication of the detection method.

[0004] Detection of seepage channels: Usually, pressure detection methods such as observation holes, piezometers, and osmometers are used for perception, but due to the large spacing between layout sections, there are defects such as low measurement resolution and high cost.

[0005] How to efficiently and accurately detect soft interlayers and seepage channels in open-pit mine slopes is still an urgent technical problem to be solved. Summary of the Invention

[0006] The technical problem to be solved by the present invention is the complexity of construction and low accuracy existing in the existing slope stability detection methods. For this reason, the present invention proposes a device and method for detecting the stability of slopes.

[0007] In view of the above technical problems, the present invention provides the following technical solutions:

[0008] In some embodiments of the present invention, a device for detecting the stability of a slope is provided, including:

[0009] Detection holes: After determining the slope detection area, a plurality of monitoring lines are arranged from the top of the slope to the bottom of the slope. A plurality of detection holes are arranged on each of the monitoring lines, and the depth of each detection hole reaches below the bedrock surface;

[0010] Sensor array: A sensor array is arranged along the depth direction in each detection hole. The sensor array includes a plurality of temperature sensors and a plurality of inclination sensors;

[0011] Host computer: Collect the detection data of the sensor array; determine the temperature values at different depths of the detection holes according to the detection data of the temperature sensors, and set the position where the temperature sensor with a temperature value change range exceeding the preset temperature change range as the infiltration area to identify the seepage channel; determine the inclination angles at different depths of the detection holes according to the detection data of the inclination sensors, and set the position where the inclination sensor with an inclination angle change range exceeding the preset inclination angle range as the suspected weak interlayer area; determine the weak interlayer area according to the spatial distribution information of the seepage channels in the suspected weak interlayer area.

[0012] The device for detecting the stability of a slope provided in some embodiments of the present invention:

[0013] The monitoring lines are arranged by the main - auxiliary profile method. The main monitoring line is located in the middle of the slope detection area, and auxiliary monitoring lines are arranged on both sides of the main monitoring line. A number of detection holes are arranged on each monitoring line, and the number of detection holes on the main monitoring line is not less than 3.

[0014] The device for detecting the stability of a slope provided in some embodiments of the present invention:

[0015] In the sensor array, a temperature sensor and an inclination sensor together form a sensing component; the height difference between adjacent two sensing components is in the range of 0.5m to 1m.

[0016] The device for detecting the stability of a slope provided in some embodiments of the present invention:

[0017] The arrangement density of the sensing components in the same detection hole is different, and the density of the sensing components at the pre - estimated weak interlayer position is higher.

[0018] The device for detecting the stability of a slope provided in some embodiments of the present invention:

[0019] The host computer determines the area where the suspected weak interlayer area and the seepage channel overlap as the weak interlayer area.

[0020] The device for detecting the stability of a slope provided in some embodiments of the present invention:

[0021] The upper computer is configured with a display screen, and the display screen is used to display the spatial arrangement mode of the sensor arrays in the slope area and the detection results of each sensor array; and display the seepage channels and the suspected weak interlayer areas according to the detection results.

[0022] A device for detecting slope stability provided in some embodiments of the present invention:

[0023] The inclination sensor is a three-axis MEMS sensor, and the placement method of the inclination sensor is as follows: the depth direction of the Z-axis detection hole is parallel; the X-axis is parallel to the main sliding direction of the slope; the Y-axis is perpendicular to the main sliding direction of the slope, and the inclination angle θ of the inclination sensor with respect to the vertical direction is:

[0024]

[0025] Wherein, A X,OUT 、A Y,OUT 、A Z,OUT are the acceleration values measured and output by the X-axis, Y-axis, and Z-axis of the three-axis MEMS sensor respectively.

[0026] A method for detecting slope stability using the device for detecting slope stability according to any one of the above in some embodiments of the present invention includes the following steps:

[0027] Collect the temperature field distribution data and deformation field distribution data in the slope detection area;

[0028] Determine the weak interlayer area in the slope detection area according to the temperature field distribution data and the deformation field distribution data.

[0029] In the step of collecting the temperature field distribution data and the deformation field distribution data in the method for detecting slope stability provided in some embodiments of the present invention:

[0030] If there is a change process from a steady state to a disturbed state and then to a steady state, or a change process from high temperature to low temperature and then to high temperature in the temperature field distribution data, then the position in the disturbed state or at low temperature is taken as the seepage channel;

[0031] If there is an area where the deformation in the deformation field distribution data exceeds the preset range, then this area is taken as the suspected weak interlayer area;

[0032] The area where the suspected weak interlayer area overlaps with the seepage channel is determined as the weak interlayer area.

[0033] The method for detecting slope stability provided in some embodiments of the present invention further includes the following steps:

[0034] Using a thermal-fluid-solid coupling numerical modeling algorithm and a parameter inversion algorithm, the temperature field distribution data and the deformation field distribution data are inversely processed to obtain the predicted value of the permeability coefficient of the seepage channel and the predicted result of the progressive process of slope sliding;

[0035] According to the predicted value of the permeability coefficient and the predicted result of the progressive process of slope sliding, the predicted result of slope stability is obtained. The technical solution of the present invention has the following technical effects compared with the prior art:

[0036] The device and method for detecting slope stability provided by the present invention adopt the principle of double physical quantity tracer measurement of temperature detection and deformation detection to detect the seepage channel and weak interlayer of the slope. Based on the physical property that during the spring thawing period, when snowmelt infiltrates the slope, the temperature field of the seepage channel is much lower than that of the surrounding rock and soil mass, a temperature sensor is used to sense the abnormal temperature curve area to identify the seepage channel of the slope; based on the physical property that the weak interlayer is not only the seepage channel but also the main sliding area of the slope, an inclination sensor is used to sense the abnormal area of severe deep sliding deformation of the slope, and the spatial distribution information of the seepage channel is superimposed to identify the position of the weak interlayer of the slope. The above solution provided by the present invention can quickly, accurately and efficiently identify the positions of the seepage channel and weak interlayer inside the open-pit mine slope, and has low construction cost and is simple and easy to implement. Brief Description of the Drawings

[0037] The following will describe in detail the preferred embodiments of the present invention through the drawings, which will help to understand the purpose and advantages of the present invention, wherein:

[0038] Figure 1 is a schematic structural diagram of the device for detecting slope stability according to an embodiment of the present invention;

[0039] Figure 2 is a schematic overall structural diagram of the device for detecting slope stability according to another embodiment of the present invention;

[0040] Figure 3 is a flowchart of the method for detecting slope stability according to an embodiment of the present invention;

[0041] Figure 4 is a flowchart of the method for detecting slope stability according to another embodiment of the present invention. Detailed Embodiments

[0042] The following will clearly and completely describe the technical solution of the present invention with reference to the drawings. Obviously, the described embodiments are some embodiments of the present invention, rather than all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0043] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as a limitation to the present invention. In addition, the terms "first", "second", "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0044] In the description of the present invention, it should be noted that unless otherwise clearly specified and limited, the terms "installed", "connected", "coupled" shall be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0045] In addition, the technical features involved in different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0046] This embodiment provides a device for detecting the stability of a slope, as Figure 1 shown, including:

[0047] Detection holes 100. After determining the slope detection area, multiple monitoring lines are arranged from the slope top to the slope bottom. A plurality of detection holes 100 are arranged on each of the monitoring lines. The depth of each detection hole 100 reaches below the bedrock surface and enters 3 - 5 m below the relatively intact bedrock surface. If the position where the detection hole 100 is located is used as a monitoring point, a monitoring network composed of monitoring points and monitoring lines is formed in the slope area. In specific implementation, the monitoring lines are arranged by the main - auxiliary profile method. The main monitoring line is located in the middle of the slope and extends from the slope top to the slope bottom. Auxiliary inclined lines can be arranged on both sides of the main monitoring line. A number of detection holes 100 are arranged on each monitoring line. Among them, the number of detection holes on the main monitoring line is not less than 3. If the slope is relatively long, it can be selected to set a detection hole at an interval of a set distance as a criterion. The final hole of the detection hole 100 should pass through the slip zone and enter the relatively intact bedrock surface. The specific drilling process includes: hole - mouth positioning. According to the pre - formulated monitoring plan, use a total station on the slope to measure the three - dimensional space coordinates of the hole - mouth of the deep displacement monitoring borehole; drilling. Use an engineering drilling rig to drill a geological borehole. The inclination of the formed hole is not greater than 2°, and the formed hole diameter is 1.2 times the outer diameter of the inclinometer tube (about 110 mm). The formed hole depth is slightly deeper than the total length of the inclinometer tube (drill 0.5 m deeper every 10 m); hole cleaning. After the drill bit reaches the predetermined position, pump clear water into the borehole until the muddy water becomes clear water. Immediately install a PVC pipe after lifting the drill to obtain the detection hole.

[0048] Sensor array. A sensor array is arranged along the depth direction in each detection hole 100. The sensor array includes a plurality of temperature sensors 1011 and a plurality of inclination sensors 1012. Preferably, in the sensor array, one temperature sensor 1011 and one inclination sensor 1012 are integrated into a sensing component 101. The sensing components 101 are distributed vertically in the detection hole from the hole bottom to the hole mouth. The temperature sensors 1011 and the inclination sensors 1012 appear in pairs. Each pair of sensors is arranged at the same depth in the detection hole 100, so that the temperature distribution data and the deformation distribution data in the slope detection area are for the same spatial position.

[0049] Host computer 200. Collect the detection data of the sensor array; determine the temperature values at different depths of the detection hole 100 according to the detection data of the temperature sensors 1011, and set the position where the temperature sensor with the temperature value change range exceeding the preset temperature change range as the infiltration area to identify the seepage channel A; determine the inclination angles at different depths of the detection hole according to the detection data of the inclination sensors 1012, and set the position where the inclination sensor with the inclination angle change range exceeding the preset inclination angle range as the suspected weak interlayer area B; determine the weak interlayer area according to the spatial distribution information of the seepage channels in the suspected weak interlayer area. As Figure 1 shown, if there is a seepage channel A distributed in the suspected weak interlayer area B at the same time, that is, the area A + B in the figure, then determine this kind of area as the weak interlayer area.

[0050] In this embodiment, the host computer 200 can realize data acquisition and transmission by means of wireless transmission. It can regularly collect the temperature of the rock and soil mass sensed by the temperature sensors in each detection hole and the rock and soil deformation data sensed by each inclinometer sensor every 24 hours, and wirelessly transmit them to the cloud server 300 to obtain the time-series historical data of hole depth-temperature and hole depth-deformation of each detection hole on the slope, and then be able to determine the weak interlayer according to the distribution of temperature and deformation. The cloud data monitoring center online receives the time-series monitoring data wirelessly transmitted from the on-site detection equipment, stores them uniformly in the cloud database, and calls the clustering learning algorithm to carry out the interpretation of the seepage channel and the position of the weak interlayer. On the one hand, by identifying the measuring points with abnormal temperature during the spring thawing period, the spatial distribution area of the slope seepage channel is clustered. On the other hand, by identifying the measuring points with abnormal inclination during the spring snowmelt and the rainy season rainfall, and at the same time superimposing the spatial distribution information of the seepage channel, the spatial distribution area of the weak interlayer is clustered. The interpretation and analysis are continuously carried out in units of hydrological years. Through the in-depth excavation of the cumulative monitoring data, the positions of the seepage channel and the weak interlayer are continuously corrected and located, and the detection effects of the seepage channel and the weak interlayer are gradually improved.

[0051] Among them, the number of host computers 200 can be determined according to the on-site situation. One host computer 200 can be set for each detection hole 100, and this host computer 200 collects the data sent by all the sensing components 101 in one detection hole 100. Or one host computer 200 can be set for multiple detection holes 100, and the host computer 200 collects the data sent by all the sensing components 101 in multiple detection holes 100. Figure 2 Only two sensing components 101 corresponding to one host computer 200 are used for illustrative purposes, and it does not limit the corresponding relationship between the sensing components and the host computer.

[0052] During the implementation of this embodiment, the host computer 200 determines the area where the suspected weak interlayer area and the seepage channel overlap as the weak interlayer area. This determination is based on the actual situation of a large number of open-pit mines distributed in seasonal frozen soil areas. During the winter freezing period, the surface of the open-pit mine slope in the seasonal frozen soil area is covered with snow, forming a frozen soil layer with a thickness of 1-3 m, a temperature below 0 °C, and a mixture of ice, soil, and rock. Due to the low thermal conductivity and geothermal effect of the deep rock and soil layers below the frozen soil layer, the temperature field is evenly and constantly distributed and much higher than 0 °C. During the spring thawing period, the low-temperature snowmelt near 0 °C on the slope surface infiltrates to recharge groundwater, forming a low-temperature field near the seepage channel. There is an obvious temperature difference between this low-temperature field and the high-temperature field of the surrounding deep rock and soil masses. On this basis, the temperature of the seepage channel will be lower than the temperature of the surrounding rock and soil layers. At the same time, the temperature fluctuation of the seepage channel will be higher than the temperature fluctuation of the surrounding rock and soil layers (that is, the temperature of the rock and soil layers is more constant). Therefore, by analyzing the abnormal areas of the temperature-depth curves in the slope boreholes during the spring thawing period, a new way is provided for developing a low-cost, automated, and real-time dynamic method for identifying seepage channels in mine slopes. At the same time, considering that the weak interlayers in open-pit mine slopes are usually both good seepage channels for water and potential slip areas of the slope, the extremely deformed abnormal areas in the non-slope boreholes may be caused by the influence of the weak interlayers. On this basis, by superimposing the spatial distribution information of the seepage channels, the weak interlayers in the mine slopes can be further accurately identified, and the above-mentioned low-cost, automated, and real-time dynamic natural tracer method is provided.

[0053] In some solutions, the host computer 200 is configured with a display screen, and the display screen is used to display the spatial arrangement mode of the sensor arrays in the slope area and the detection results of each sensor array; the seepage channel and the suspected weak interlayer area are displayed according to the detection results. By displaying the detection results on the display screen, the staff can intuitively see the detection results. For example, the display screen displays the three-dimensional coordinate system of the slope area. The three-dimensional coordinates display the X and Y axis coordinates of the slope area in the horizontal direction, and the depth direction is the Z axis coordinate. The interval occupied by the detection holes in the three-dimensional coordinate system, the coordinate points of the positions where the sensing components are set in the three-dimensional coordinate system, etc. can all be reflected. The display screen can also display the temperature curve and the inclination curve in the three-dimensional coordinate system, so that it is easy to find the seepage channel and the suspected weak interlayer area, and then the area where the two are superimposed is used as the final weak interlayer area.

[0054] Further, each sensing component 101 can be arranged inside a lightweight alloy round tube. The length of the lightweight alloy round tube is selected in units of 450 mm to 950 mm. One or more sensing components can be arranged inside the same lightweight alloy round tube. Different lightweight alloy round tubes are connected by flexible joints. The flexible joint 102 itself has flexibility, which can not only realize the connection between adjacent pipe bodies, but also absorb the deformation energy brought to the sensing component during the deformation process of the detection hole. Thus, on the premise of realizing the coordinated deformation of the sensing component with the detection hole, the structure of the sensing component is ensured not to be damaged, and the result obtained by the sensing component is guaranteed to be more accurate.

[0055] In the above solution, the steps of placing the sensing array into the detection hole include: connecting the first lightweight alloy round tube in the sensing array to the auxiliary sinkhole wire rope to prevent the lightweight alloy round tube from sliding quickly into the detection hole due to inadvertent operation during the sinkhole process of the lightweight alloy round tube. Then, each section of the lightweight alloy round tube is placed in sequence until the last section of the lightweight alloy round tube is sunk. The sensing component is implemented by selecting a MEMS triaxial accelerometer. When preventing the sensing component, ensure that the X and Y directions in the sensing component are aligned with each measurement direction of the slope. Lead the wire of the sensing component to the data input interface of the host computer. The selected position should have good isolation performance and be not affected by moisture. Then, backfill the detection hole. The gap between the hole wall and the pipe body of the lightweight alloy round tube needs to be backfilled densely, and medium sand can be used for backfilling. The purpose of using medium sand for backfilling is on the one hand to ensure dense backfilling, and on the other hand to facilitate the penetration of groundwater to the periphery of the pipe body of the lightweight alloy round tube to ensure that the sensing component accurately measures the groundwater temperature in the seepage channel. Pour dry sand at the hole opening and gently shake the inclinometer tube while pouring the sand at a uniform speed. If there is no dry sand, then use wet sand, mix it with water to form a fluid, pour it into the gap, and wait for precipitation before supplementing fine sand until the backfilling is dense. After completing the backfilling, expose the lightweight alloy round tube fitting with a length of about 0.3 - 0.5 meters outside the drilling hole, protect the data line of the sensing component above the hole opening, and then lead the data line to the host computer.

[0056] As mentioned above, the temperature sensor and the inclination sensor in the above solution are implemented by selecting MEMS sensors. The MEMS inclination sensor in the pipe body of the lightweight alloy round tube can calculate the spatial inclination angle of the position where the sensor is located by using the measured triaxial gravitational acceleration response. The placement method of the inclination sensor is as follows: The Z axis is along the measurement unit direction and is parallel to the depth direction of the detection hole; the X axis is perpendicular to the sensing component direction and is parallel to the main sliding direction of the slope area; the Y axis is perpendicular to the sensing component direction and is perpendicular to the main sliding direction of the slope area. The calculation formula for the inclination angle θ between the sensing component and the gravity vertical line is:

[0057]

[0058] Where, A X,OUT 、AY,OUT and A Z,OUT are the acceleration values measured and output along the X-axis, Y-axis, and Z-axis of the triaxial MEMS sensor respectively.

[0059] Specifically, for the sensor array in the same detection hole: the height difference between two adjacent sensing components 101 is in the range of 0.5 m to 1 m, such as 0.8 m. Preferably, the arrangement density of the sensor array in the same detection hole is different, and the density of the sensor array at the pre-estimated weak interlayer position is higher. The pre-estimated weak interlayer position can be determined according to historical experience values. During each mine exploitation, the exploitation data will be recorded in detail. The exploitation data of areas similar to the current detected slope area or areas with similar environmental parameters can be investigated. According to the positions of the weak interlayers recorded in the exploitation data of such similar areas, the position of the weak interlayer in the currently detected slope area can be estimated.

[0060] The method provided in this embodiment has a relatively low detection cost. At present, deep displacement monitoring has become an important part of the mine slope monitoring system. Deep displacement monitoring equipment is usually installed on key slopes. Since the displacement monitoring equipment has a temperature compensation function, a temperature sensor is usually used in combination when implementing the temperature compensation function. Therefore, the current deep displacement monitoring generally also has a temperature sensor, but the monitoring data of the temperature sensor is only used for the temperature compensation algorithm. This solution can directly utilize the existing deep displacement monitoring equipment to achieve the dual-physical quantity tracer detection of "temperature + deformation" without increasing costs. During the process of monitoring the internal deformation and failure of the slope, the seepage channel and the weak interlayer can be detected simultaneously by using temperature tracing and dip angle tracing, providing multi-source basic data support for the scientific evaluation of the stability of the mine slope.

[0061] This embodiment also provides a method for detecting the stability of a slope by using the device for detecting the stability of a slope described above, including the following steps:

[0062] S101: Collect the temperature field distribution data and deformation field distribution data in the slope detection area.

[0063] S102: Determine the weak interlayer area in the slope detection area according to the temperature field distribution data and the deformation field distribution data.

[0064] Based on the physical property that during the spring thawing period, the temperature field of the seepage channel is much lower than that of the surrounding rock and soil mass during the snowmelt infiltration process on the slope, the temperature changes at different depths of the borehole are monitored using temperature sensors. The location of the sensor with abnormal temperature response (steady state / high temperature -> disturbed state / low temperature -> steady state / high temperature) is set as the infiltration area to identify the seepage channel of the slope. Based on the physical property that the weak interlayer is not only the seepage channel but also the main sliding area of the slope, the inclination sensors are used to monitor the abnormal inclination deformation areas at different depths of the borehole. The location of the sensor with severe inclination deformation is set as the suspected weak interlayer area, and by superimposing the spatial distribution information of the seepage channel determined by temperature tracing, the location of the weak interlayer is further identified.

[0065] This solution has a high detection accuracy. On the one hand, using temperature as a natural tracer for seepage channel detection will not cause pollution to the environment, does not require chemical analysis, and is easy to measure. At the same time, during the spring thawing period when low-temperature snowmelt infiltrates, there is a significant temperature difference between the low-temperature field of the seepage channel and the high-temperature field of the surrounding rock and soil mass, creating physical conditions for the accurate detection of the seepage channel. On the other hand, the present invention uses deformation as a natural tracer for weak interlayer detection and superimposes the spatial distribution information of the seepage channel, which can ensure the accurate detection of the weak interlayer. Further, this solution adopts the method of simultaneous measurement in the same borehole. That is, the temperature changes and inclination deformation of the rock and soil mass are monitored simultaneously at the same borehole depth in the same borehole, so as to comprehensively utilize the two tracer physical quantities of "temperature + deformation" to accurately identify the potential weak interlayer inside the slope.

[0066] Further, in the step of collecting the temperature field distribution data and deformation field distribution data in the slope detection area: if there is a change process from steady state to disturbed state and then to steady state, or a change process from high temperature to low temperature and then to high temperature in the temperature field distribution data, then the position where the disturbed state or low temperature is located is taken as the seepage channel; if there is an area where the deformation in the deformation field distribution data exceeds the preset range, then this area is taken as the suspected weak interlayer area; the area where the suspected weak interlayer area overlaps with the seepage channel is determined as the weak interlayer area. Among them, the steady state is based on the constancy of the temperature of the rock and soil itself. According to the characteristics of the rock and soil itself, the temperature fluctuates up and down within a certain value, so it is considered a steady state. The disturbed state is because water has seeped into the seepage channel, and the water seepage is mixed with different substances, resulting in large temperature fluctuations, at least several times the temperature fluctuations of the rock and soil. And the high temperature or low temperature is also analyzed based on the characteristics of the rock and soil. Considering that there is a seepage channel in the rock and soil, the temperature distribution should have a distribution curve at the rock and soil position and another distribution curve at the seepage channel. Thus, it is possible to easily find a different curve sandwiched between two identical curves, so as to easily determine the seepage channel.

[0067] In the above solution, the following steps are also included:

[0068] S103: Using the thermal-fluid-solid coupling numerical modeling algorithm and the parameter inversion algorithm, perform inversion processing on the temperature field distribution data and the deformation field distribution data to obtain the predicted value of the permeability coefficient of the seepage channel and the prediction result of the progressive process of slope sliding. The thermal-fluid-solid coupling numerical modeling algorithm and the parameter inversion algorithm are relatively common methods in the field of geotechnical engineering. In this step, this method is directly used to obtain the distribution of temperature and deformation. After the seepage coefficient is predicted, the seepage degree of water in the seepage channel can be predicted.

[0069] S104: Obtain the prediction result of slope stability according to the predicted value of the permeability coefficient and the prediction result of the progressive process of slope sliding. Adopt the thermal-fluid-solid coupling numerical modeling technology to establish a two-dimensional / three-dimensional numerical model of the mine slope. Invert the seepage velocity and permeability coefficient of the seepage field according to the time-series data of the temperature field obtained on-site, and invert the slope deformation failure mode and the current progressive failure state according to the time-series data of the horizontal displacement field obtained on-site. Further calculate the slope safety factor and predict the future disaster risk level to provide scientific decision-making support for optimizing the slope mining plan and ensuring the safe production of the mine. Transform the traditional detection method into a long-term monitoring method. By continuously obtaining the time-series data of the temperature field and the deformation field on-site and conducting in-depth mining and analysis, gradually focus on positioning the positions of the seepage channel and the weak interlayer. This change in the detection mode helps to further improve the detection effect of the seepage channel and the weak interlayer.

[0070] Obviously, the above embodiments are merely examples for clear illustration and not limitations on the implementation manners. For those of ordinary skill in the art, other different forms of changes or variations can be made based on the above description. It is not necessary and impossible to list all the implementation manners here. And the obvious changes or variations derived therefrom are still within the protection scope of the present invention.

Claims

1. A method for detecting the stability of a slope using a device for detecting slope stability, characterized in that, For detecting the slope stability of open-pit mines, where: The device includes: Detection holes: After determining the slope detection area, multiple monitoring lines are arranged from the top of the slope to the bottom of the slope. A plurality of detection holes are arranged on each monitoring line, and the depth of each detection hole reaches 3 - 5 m below the bedrock surface; Sensor array: A sensor array is arranged along the depth direction in each detection hole. The sensor array includes a plurality of temperature sensors and a plurality of inclination sensors; Host computer: Collect the detection data of the sensor array; Determine the temperature values at different depths of the detection holes according to the detection data of the temperature sensors, and set the position where the temperature sensor with a temperature value change range exceeding the preset temperature change range as the infiltration area to identify the seepage channel; Determine the inclination angles at different depths of the detection holes according to the detection data of the inclination sensors, and set the position where the inclination sensor with an inclination angle change range exceeding the preset inclination angle range as the suspected weak interlayer area; Among them, the area where the suspected weak interlayer area and the seepage channel overlap is determined as the weak interlayer area; The monitoring lines are arranged by the main - auxiliary profile method. The main monitoring line is located in the middle of the slope detection area, and auxiliary monitoring lines are arranged on both sides of the main monitoring line. A number of detection holes are arranged on each monitoring line, and the number of detection holes on the main monitoring line is not less than 3; In the sensor array, one temperature sensor and one inclination sensor form a sensing component; The temperature sensor and the inclination sensor in each sensing component are arranged at the same depth of the detection hole; The height difference between adjacent two sensing components is within the range of 0.5 m - 1 m; The arrangement density of the sensing components in the same detection hole is different, and the sensing component density at the pre - estimated weak interlayer position is higher; The pre - estimated weak interlayer position is determined according to historical experience values; The inclination sensor is a three-axis MEMS sensor, and the placement method of the inclination sensor is as follows: the depth direction of the Z-axis detection hole is parallel; the X-axis is parallel to the main sliding direction of the slope; the Y-axis is perpendicular to the main sliding direction of the slope, and the inclination angle of the inclination sensor with respect to the vertical direction is: ； Among them, , , are the acceleration values measured and output by the X-axis, Y-axis, and Z-axis of the three-axis MEMS sensor, respectively; The method includes the following steps: Collect the temperature field distribution data and deformation field distribution data in the slope detection area; Determine the weak interlayer area in the slope detection area according to the temperature field distribution data and the deformation field distribution data; In the step of collecting the temperature field distribution data and deformation field distribution data in the slope detection area: If there is a change process from a steady state to a disturbed state and then to a steady state, or a change process from high temperature to low temperature and then to high temperature in the temperature field distribution data, then the position in the disturbed state or at low temperature is taken as the seepage channel; If there is an area where the deformation exceeds the preset range in the deformation field distribution data, then this area is taken as the suspected weak interlayer area; Specifically: By identifying the measurement points with abnormal temperatures during the spring thawing period, clustering the spatial distribution area of the slope seepage channels; By identifying the measurement points with abnormal inclinations during the spring snowmelt and rainy season rainfall, and simultaneously superimposing the spatial distribution information of the seepage channels, clustering the spatial distribution area of the weak interlayer; According to the spatial distribution information of the seepage channels in the suspected weak interlayer area, determine the weak interlayer area; Adopt the thermal - fluid - solid coupling numerical modeling algorithm and parameter inversion algorithm to perform inversion processing on the temperature field distribution data and deformation field distribution data, and obtain the predicted value of the permeability coefficient of the seepage channel and the predicted result of the progressive process of slope sliding; The prediction result of the slope stability is obtained based on the predicted value of the permeability coefficient and the prediction result of the progressive process of slope sliding; 2. The method for detecting the slope stability by using the device for detecting the slope stability according to claim 1, characterized in that: The upper computer is configured with a display screen, and the display screen is used to display the spatial arrangement mode of the sensor arrays in the slope area and the detection results of each sensor array; the seepage channel and the suspected weak interlayer area are displayed according to the detection results.

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